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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Yang."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    byter
    -0.83
    ORN
    -0.75
     ILCS
    -0.72
    IVE
    -0.68
    rees
    -0.67
    doors
    -0.67
    phia
    -0.67
    iddles
    -0.67
    rican
    -0.67
    ITY
    -0.66
    POSITIVE LOGITS
     Yang
    1.13
    gang
    1.03
    yang
    1.03
     Xiao
    0.96
    Yang
    0.95
    jiang
    0.94
    lda
    0.88
     Xiang
    0.85
     Jong
    0.84
     Chen
    0.83
    Activations Density 0.008%

    No Known Activations